Conference paper

KLÍMA Ondřej, CHROMÝ Adam, ZEMČÍK Pavel, KLEPÁRNÍK Petr and ŠPANĚL Michal. A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction. In: 14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016. Brno / Lednice: Elsevier Science, 2016, pp. 121-126. ISSN 2405-8963.
Publication language:english
Original title:A Study on Performance of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction
Title (cs):Srovnání výkonnosti Levenberg-Marquardtovy a CMA-ES optimalizační metody pro účely 2D/3D rekonstrukce založené na anatomických modelech
Pages:121-126
Proceedings:14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016
Conference:14th IFAC/IEEE International Conference on Programmable Devices and Embedded Systems
Place:Brno / Lednice, CZ
Year:2016
Journal:IFAC-PapersOnLine (ELSEVIER), No. 25, NL
ISSN:2405-8963
DOI:10.1016/j.ifacol.2016.12.021
Publisher:Elsevier Science
Keywords
2D/3D Reconstruction, Levenberg-Marquardt, CMA-ES, Appearance Model
Annotation
In this study, we compare the performance of our previously proposed deformable 2D/3D registration approach based on the Levenberg-Marquardt optimization with methods exploiting the CMA and CMSA evolution strategies. The aim of the investigated registration is a reconstruction of a patient-speci c 3D bone model from a small set of plain 2D X-ray images, which is achieved by fitting a deformable bone atlas onto the X-ray images. The comparison is focused on the robustness and the speed of the evaluated methods. The results were obtained using a large-scale data set of synthetic X-ray images. We show our method is several times faster in comparison with the approaches based on evolution strategies, while the robustness of the reconstruction is preserved. To speed-up the reconstruction process, certain parts of the registration pipeline are accelerated using graphics hardware. The median error of our proposed method was 1.12mm and the median reconstruction time was 7.2s. The median time reached by the CMA-ES and CMSA-ES methods was 48.5s and 138.5s respectively.
BibTeX:
@INPROCEEDINGS{
   author = {Ond{\v{r}}ej Kl{\'{i}}ma and Adam Chrom{\'{y}} and
	Pavel Zem{\v{c}}{\'{i}}k and Petr
	Klep{\'{a}}rn{\'{i}}k and Michal
	{\v{S}}pan{\v{e}}l},
   title = {A Study on Performance of Levenberg-Marquardt and
	CMA-ES Optimization Methods for Atlas-based 2D/3D
	Reconstruction},
   pages = {121--126},
   booktitle = {14th IFAC Conference on Programmable Devices and Embedded
	Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016},
   journal = {IFAC-PapersOnLine (ELSEVIER)},
   number = {25},
   year = {2016},
   location = {Brno / Lednice, CZ},
   publisher = {Elsevier Science},
   ISSN = {2405-8963},
   doi = {10.1016/j.ifacol.2016.12.021},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11214}
}

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